Application of wavelet exponential window denoising and dynamic uncertainty in acoustic emission

• Autorzy: Fang Lide , Sun Jianzhang , Zheng Meng , Zeng Qiaoqiao , Dong Fang , Feng Yue

Identyfikatory

DOI

10.24425/mms.2024.152045

• Języki publikacji: EN

Abstrakty

EN

The gas-liquid two-phase acoustic emission (AE) signal contains rich flow information, but it is also accompanied by a large number of interference signals. To accurately extract the characteristics of gas-liquid two-phase flow, the removal of interference signals is very important. In this paper, AE technology is used to detect the signal of gas-liquid two-phase flow in a vertical pipeline. The support degree of the sensor is checked by the trust function to confirm the consistency of the sensor and eliminate wrong data. The decomposition level of the wavelet base and wavelet transform is determined by four parameters such as the signal-to-noise ratio. By comparing the wavelet exponential window smoothing method and the wavelet soft threshold method, the wavelet exponential window smoothing method which is more suitable for the denoising effect is selected, and the real-time denoising effect is evaluated by using the measurement dynamic uncertainty theory. The results show that the wavelet exponential window denoising method improves the signal-to-noise ratio, reduces the energy leakage during denoising, and significantly improves the pseudo-Gibbs phenomenon, while dynamic uncertainty can effectively evaluate the denoising effect of AE signals.

Słowa kluczowe

EN

acoustic emission; dynamic uncertainty; gas-liquid two-phase flow; wavelet transform

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2024
• Tom: Vol. 31, nr 4
• Strony: 637--655
• Opis fizyczny: Bibliogr. 39 poz., rys., tab., wykr., wzory

Twórcy

autor

Fang Lide

• Hebei University, School of Quality and Technical Supervision, Hebei, Baoding, 071000, China

autor

Sun Jianzhang

• Institute of Metrology of Hebei Province, 050200, China

autor

Zheng Meng

• Hebei University, School of Quality and Technical Supervision, Hebei, Baoding, 071000, China

autor

Zeng Qiaoqiao

• Hubei Huangshi Institute of Measurement and Testing, Huangshi, Hubei, Hubei, 435000, China

autor

Dong Fang

• Hubei Huangshi Institute of Measurement and Testing, Huangshi, Hubei, Hubei, 435000, China

autor

Feng Yue

• School of Electronic Information Engineering, Langfang Normal University, Langfang, 065000, China

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Uwagi

The study was supported by Post-Graduate Innovation Fund Project of the Hebei Province (CXZZBS 2023026), the Science and Technology Project of the Hebei Education Department (QN2023077), the National Natural Science Foundation of China (62173122), the Key Project of Natural Science Foundation of Hebei Province (F2021201031), Hebei Provincial Postgraduate Demonstration Course Project (KCJSX2021009).